Aplicação de machine learning para detecção de anomalias em rede SCADA

Abstract

SCADA plays an important role into industrial process. In the beginning, these systems were standalone models, with closed architectures and no external connectivity. Nowadays, SCADA needs connectivity and open systems and are connecting to corporate intranets and to the Internet for improve efficiency and productivity. This integration with the internet has brought several security issues. However, anomaly detection systems would be able to detect possible attacks on those systems, The monitoring of these networks automatically becomes increasingly necessary using machine learning tools so that the model can adapt to the new network configurations.